Q-omics provides the consensus-scored RN7SKP73 profile across patient tissues and cancer cell-line models. RN7SKP73 expression is associated with patient survival in 5 of 34 cancer types, with the highest sampling consensus in BLCA. Among the 18 cancer types available for tumor–normal comparison, RN7SKP73 is differentially expressed in 1, with the highest sampling consensus in KIRC. Additionally, RN7SKP73 RNA expression shows 5,014 significant gene co-expression associations, with the highest sampling consensus in ESCA. Together, these results highlight BLCA, KIRC, and ESCA as cancer lineages where RN7SKP73 shows reproducible signals across survival, tumor–normal expression, and patient cross-omics analyses.
Every result is evaluated using two consensus scores. Sampling consensus measures how consistently a finding is reproduced within a cancer lineage across different conditions. Lineage consensus measures how broadly the result is shared across cancer types, distinguishing pan-cancer signals from lineage-specific patterns.
Premium analyses for RN7SKP73 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RN7SKP73 survival associations across molecular data types. RN7SKP73 RNA expression shows survival associations in the most cancer types (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RN7SKP73 RNA expression–survival associations across cancer types. High RN7SKP73 expression shows unfavorable associations in BLCA, KIRC, SKCM and OV, but favorable associations in MESO. The BLCA Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p < 0.001). Together, the overview and detailed table identify BLCA as the clearest survival context for RN7SKP73 RNA expression.
This table summarizes RN7SKP73 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for RN7SKP73. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RN7SKP73 shows lower tumor expression in KIRC. The KIRC box plot shows higher RN7SKP73 RNA expression in normal versus tumor tissue (log2 FC = −0.023, t-test p = .025).
This table shows molecular features associated with RN7SKP73 in patient tissues and cancer cell lines. In patient samples, RN7SKP73 shows the broadest associations at the RNA and protein expression levels, with ESCA recurring as the lineage with the largest associated feature set.
